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Generation of openEHR Test Datasets for Benchmarking.

Samar El Helou1, Tuukka Karvonen1, Goshiro Yamamoto2

  • 1Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan.

Studies in Health Technology and Informatics
|January 4, 2018
PubMed
Summary

We developed a method to generate openEHR test datasets for benchmarking different electronic health record implementations. This addresses the lack of public datasets needed for comparing openEHR data repositories.

Keywords:
BenchmarkingElectronic Health Record

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Area of Science:

  • Health Informatics
  • Computer Science

Background:

  • openEHR is a widely adopted, technology-independent electronic health record specification.
  • Various implementations of openEHR data repositories exist due to its flexible nature.

Purpose of the Study:

  • To address the current unavailability of public openEHR datasets.
  • To enable benchmark analyses across different openEHR data repository implementations.

Main Methods:

  • Propose a novel method for generating openEHR test datasets.
  • Ensure generated datasets are suitable for public sharing and use.

Main Results:

  • A method for creating reproducible openEHR test datasets has been established.
  • The proposed method facilitates the generation of shareable datasets.

Conclusions:

  • The developed method provides a solution for the scarcity of public openEHR datasets.
  • Enables standardized benchmarking and comparison of diverse openEHR implementations.